Structural Bioinformatics Training Workshop & Hackathon 2018
Application of Big Data Technology and 3D Visualization, San Diego Supercomputer Center, UC San Diego, May 7-9, 2018
To try out our Jupyter notebook demos without any installation.
NOTE: Authentication is now required to launch binder! Sign into GitHub from your browser, then click on the
launch binder badge below to launch Jupyter Lab.
It can take a few minutes for Binder to setup the environment.
Please follow the installation guide on mmtfPyspark's GitHub to install the python package.
Clone this repository by running the following command on your terminal:
git clone https://github.com/sbl-sdsc/mmtf-workshop-2018.git
How to Cite this Work
Bradley AR, Rose AS, Pavelka A, Valasatava Y, Duarte JM, Prlić A, Rose PW (2017) MMTF - an efficient file format for the transmission, visualization, and analysis of macromolecular structures. PLOS Computational Biology 13(6): e1005575. doi: 10.1371/journal.pcbi.1005575
Valasatava Y, Bradley AR, Rose AS, Duarte JM, Prlić A, Rose PW (2017) Towards an efficient compression of 3D coordinates of macromolecular structures. PLOS ONE 12(3): e0174846. doi: 10.1371/journal.pone.01748464
Rose AS, Bradley AR, Valasatava Y, Duarte JM, Prlić A, Rose PW (2018) NGL viewer: web-based molecular graphics for large complexes, Bioinformatics, bty419. doi: 10.1093/bioinformatics/bty419
Rose AS, Bradley AR, Valasatava Y, Duarte JM, Prlić A, Rose PW (2016) Web-based molecular graphics for large complexes. In Proceedings of the 21st International Conference on Web3D Technology (Web3D '16). ACM, New York, NY, USA, 185-186. doi: 10.1145/2945292.2945324
This project is supported by the National Cancer Institute of the National Institutes of Health under Award Number U01CA198942. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.